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Jakub Urban - Async to Distributed: Concurrency Patterns for Data Processing (PyData Prague #30)
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YouTubePyData
Jakub Urban - Async to Distributed: Concurrency Patterns for Data Processing (PyData Prague #30)
Jakub Urban - Async to Distributed: Concurrency Patterns for Data Processing How to make your Python data workflows scale and run faster? We will explore built‑in concurrent.futures and asyncio patterns, and then show if and how to scale using frameworks like Dask or Ray. We will focus on practical recipes for CPU (or GPU) and memory ...
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